What if a slowdown in the AI boom eventually becomes a liquidity story for Bitcoin?

Arthur Hayes argues that a sharp pullback in U.S. AI spending could expose weaknesses in the debt financing the sector’s massive infrastructure buildout. In his latest analysis, Hayes suggests policymakers could ultimately respond by supporting AI infrastructure or absorbing losses tied to stressed insurers.

His thesis is straightforward: an AI downturn could create financial stress first, but a government liquidity response could become the second-order effect. If authorities inject substantial dollar liquidity to stabilize the system, Hayes believes Bitcoin could benefit as capital seeks scarce assets.

This is a scenario, not a guaranteed outcome. Bitcoin could initially face selling pressure if an AI-driven credit shock triggers broad risk-off positioning. Hayes has previously argued that the liquidity response—not the initial crash—is the key part of his Bitcoin thesis.

The interesting question for me is whether an AI bust would ultimately destroy liquidity or force policymakers to create more of it. That distinction could matter enormously for BTC.
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